The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but they measure different image characteristics. The ability of producing thousands of features from an image allows one to be selective as to which are appropriate for a particular task. In this paper we propose the use of such an approach to the problem of texture discrimination and compare its results with the classical co-occurrence matrix approach where usually the features used are fewer than ten.